Noida Uttar Pradesh Ai engineer 1 year experience Jobs – 122 Open Jobs Today

Senior Technical Lead
HCLTech —Noida, Uttar Pradesh
- Azure
- DevOps
- Master's degree
4d
4266- Senior Product Manager-Risk and Quality
Innovaccer Analytics —Noida, Uttar Pradesh
- Product management
- AI
- Communication skills
- Health insurance
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Post-Doctoral Researcher
Indraprastha Institute of Information Technology —West District, Delhi
- ₹1,00,000 a month
- Doctoral degree
- Computer Science
- C++
1d
Senior Lead
Nucleus Software —Noida, Uttar Pradesh
- Oracle
- System design
- Java
Project Research Scientist-I
Indraprastha Institute of Information Technology —West District, Delhi
- ₹56 an hour
- Computer science
- Master's degree
- Analysis skills
Security Engineer III
GHX —Noida, Uttar Pradesh
- Master's degree
- AWS
- APIs
Principal Technical Architect
Workato —Noida, Uttar Pradesh
- Azure
- Oracle
- Computer Science
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Senior Test Lead
HCLTech —Noida, Uttar Pradesh
- AI
9d
Lead - HRBP
Newspace —Noida, Uttar Pradesh
- English
- Research
- Master's degree
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4266- Senior Product Manager-Risk and Quality
Innovaccer Analytics —Noida, Uttar Pradesh
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Senior Technical Lead

HCLTech -
Noida, Uttar Pradesh

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Job details

4 days ago

Qualifications

CI/CD
Azure
Law
Kubernetes
Full-stack development
DevOps
Master's degree
AWS
Quality assurance
Docker
Continuous integration
AI
Python

Full job description

Noida, Uttar Pradesh
Job Summary
LLMOps Engineer
Role Summary

The LLMOps Engineer is responsible for operationalizing, scaling, monitoring, and governing Large Language Model (LLM)–based systems in production. This role focuses on ensuring LLM applications are reliable, performant, cost-efficient, observable, and secure across their lifecycle—from deployment to continuous optimization.

Key Responsibilities

Deploy and manage LLM-based applications across cloud and hybrid environments.
Build and maintain production-grade inference pipelines for LLM workloads.
Design and implement LLMOps pipelines for model, prompt, and configuration lifecycle management.
Implement monitoring for latency, throughput, cost, errors, drift, and hallucinations.
Build dashboards and alerts to ensure SLA and reliability targets.
Optimize inference cost and performance using caching, batching, routing, and autoscaling strategies.
Enforce security, access control, audit logging, and governance controls for LLM usage.
Collaborate with Responsible AI teams to operationalize safety and compliance guardrails.
Enable AI Engineers and Fullstack teams through reusable LLMOps frameworks and platforms.

Required Skills & Experience

Strong understanding of LLMs, Generative AI architectures, and inference workflows.
Hands-on experience running LLM-based systems in production environments.
Strong experience with cloud platforms (Azure, AWS, or GCP).
Hands-on experience with Docker, Kubernetes, and container orchestration.
Experience with CI/CD for ML or AI applications.
Programming and automation skills in Python or similar languages.
Familiarity with MLOps / LLMOps tooling, monitoring, and logging systems.

Experience Level

8+ years of overall experience in DevOps, Platform, or ML/AI Engineering roles.
2+ years of experience operating ML or GenAI systems in production.

Success Measures

Stable, scalable, and cost-efficient LLM systems running in production.
Reduced production incidents and faster recovery for AI services.
Faster and safer enterprise adoption of GenAI solutions enabled through robust LLMOps practices.

Key Responsibilities
1. To be responsible for providing technical guidance to a team of developers, enhancing their technical capabilities and increasing productivity.
2. To conduct comprehensive code reviews, establish and oversee quality assurance processes, performance optimization , implementation of best practices and coding standards to ensure successful delivery of complex projects.
3. To ensure process compliance in the assigned module| and participate in technical discussions/review as a technical consultant for feasibility study (technical alternatives, best packages, supporting architecture best practices, technical risks, breakdown into components, estimations).
4. To collaborate with stakeholders to define project scope, objectives, deliverables and accordingly prepare and submit status reports for minimizing exposure & closure of escalations.

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ai engineer 1 year experience jobs in noida uttar pradesh

Senior Technical Lead

4266- Senior Product Manager-Risk and Quality

Post-Doctoral Researcher

Senior Lead

Project Research Scientist-I

Security Engineer III

Principal Technical Architect

Senior Test Lead

Lead - HRBP

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